Title :
Digitally programmable transconductance amplifier for CNN applications
Author_Institution :
Dept. of Electron. Eng., Rome Univ.
fDate :
5/26/1994 12:00:00 AM
Abstract :
A major problem in the VLSI implementations of cellular neural networks (CNNs) is that of achieving ease of programmability of the templates. The authors present a very efficient VLSI implementation of a digitally programmable transconductance amplifier for cellular neural network applications with discrete templates
Keywords :
CMOS integrated circuits; VLSI; neural nets; operational amplifiers; CNN applications; VLSI implementations; cellular neural networks; digitally programmable transconductance amplifier; programmability; templates;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19940604
